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» Utilizing Neural Networks For Effective Intrusion Detection
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JMLR
2008
148views more  JMLR 2008»
13 years 7 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
ISDA
2009
IEEE
14 years 2 months ago
GPU-Based Road Sign Detection Using Particle Swarm Optimization
—Road Sign Detection is a major goal of Advanced Driving Assistance Systems (ADAS). Since the dawn of this discipline, much work based on different techniques has been published ...
Luca Mussi, Stefano Cagnoni, Fabio Daolio
AIR
2004
91views more  AIR 2004»
13 years 7 months ago
A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applie
Abstract. Customer retention is an increasingly pressing issue in today's competitive environment. This paper proposes a personalized defection detection and prevention proced...
Hee Seok Song, Jae Kyeong Kim, Yeong Bin Cho, Soun...
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
13 years 8 months ago
Dynamic policy-based IDS configuration
Intrusion Detection System (IDS) is an important security enforcement tool in modern networked information systems. Obtaining an optimal IDS configuration for effective detection o...
Quanyan Zhu, Tamer Basar
RAID
2010
Springer
13 years 5 months ago
GrAVity: A Massively Parallel Antivirus Engine
Abstract. In the ongoing arms race against malware, antivirus software is at the forefront, as one of the most important defense tools in our arsenal. Antivirus software is flexib...
Giorgos Vasiliadis, Sotiris Ioannidis